We build semantic fingerprints. It means we create profiles that reflect your customers’ content preferences that show through their interactions. And it works because of our human approach.
We have the right features for you to build a robust and scalable recommender system.
Are you ready to find our semantic data features?
By semantically enriching content we create a content semantic fingerprint.
The content semantic fingerprint is built for each content and eases content-to-content recommendations.
It means that we define keywords based on natural language to classify your content. The keywords are then used to find similarities between content pieces.
You will help your customers finding similar content.
Do you want to know more?